Version 1
: Received: 16 February 2024 / Approved: 19 February 2024 / Online: 19 February 2024 (16:06:33 CET)
How to cite:
Lan, Y.; Wang, X.; Gao, L. The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China. Preprints2024, 2024021011. https://doi.org/10.20944/preprints202402.1011.v1
Lan, Y.; Wang, X.; Gao, L. The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China. Preprints 2024, 2024021011. https://doi.org/10.20944/preprints202402.1011.v1
Lan, Y.; Wang, X.; Gao, L. The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China. Preprints2024, 2024021011. https://doi.org/10.20944/preprints202402.1011.v1
APA Style
Lan, Y., Wang, X., & Gao, L. (2024). The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China. Preprints. https://doi.org/10.20944/preprints202402.1011.v1
Chicago/Turabian Style
Lan, Y., Xiudong Wang and Lei Gao. 2024 "The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China" Preprints. https://doi.org/10.20944/preprints202402.1011.v1
Abstract
China's cotton production has shown a concentration to the advantageous regions in recent years. Based on the relevant data of cotton production in China, the study measures the cotton production agglomeration levels of 16 major cotton-producing provinces from 1978 to 2020, summarizes the spatiotemporal evolution characteristics of cotton production agglomeration, and analyzes the factors influencing cotton production agglomeration using spatial econometric models. The results indicate that: Firstly, since the opening-up and reform, China's cotton production agglomeration levels have shown an overall upward trend, exhibiting periodic dynamic changes over time, and the spatial pattern reveals a dynamic regional gradient. Secondly, there is spatial correlation among the production scales of cotton in different provinces, with a trend resembling a "U" shape, and the agglomeration form shows a low-level convergence. Thirdly, technological level, policies, substitute industrial products and foreign trade are identified as important factors. The cotton production in each province is spatially correlated through these factors, and there is also a presence of spillover effects. In conclusion, the government should prioritize considerations of various influencing factors to formulate tailored support policies, promote large-scale production to enhance technological levels, and focus on policies aimed at improving the quality of cotton.
Keywords
cotton production agglomeration; spatiotemporal evolution characteristics; spatial correlation; spatial econometric model
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
